5.5) Relation between positive insomnia and hostility:
Hostility of DBBL employee is highly influenced by positive insomnia. From our analysis we find the same thing which is said by the employees. When there is less positive insomnia then the hostility is low, but when positive is high (that means employees are having less sleep) then hostility is also high. 

r = 0.482
r2 = .232 or 23.2%
b0= 1.1022
b1=0.6750

r = 0.482, there is a moderate relation between positive insomnia and hostility.
r2 = .232 or 23.2%. It tells us that 23.2% of variation in hostility can be explained by the positive insomnia.
b0= 1.1022. This condition means, if there is 0 positive insomnia then there will some hostility will remain.
b1=0.6750 if positive insomnia changed by 1 unit, then hostility will change by 0.6750.
So a high insomnia is causing high hostility.

5.6) Relation between negative insomnia and hostility
When DBBL employees are having good sleep then it is not affecting hostility like positive insomnia. But when there is less negative insomnia then there is some hostility exists. When negative insomnia increases then hostility is increases in little bit. That means for DBBL employee’s hostility is depends on any other variables.
 
r = 0.056
r2 = .003 or 0.3%
b0= 2.4117
b1=0.0542
Our correlation value is0.056, which means there is very low relation between negative insomnia and hostility.
r2 = .003 or 0.3%. It tells us that 0.3% of variation in hostility can be explained by the negative insomnia. This is very small effect in hostility.
b0= 2.4117. This condition means if there is 0 negative insomnia then there will some hostility will remain.
b1=0.0542 if negative insomnia changed by 1 unit, then hostility will change by 0.0542.

5.7) Relation between positive insomnia and Fatigue

Fatigue of DBBL employee is highly influenced by positive insomnia. When there is less positive insomnia then the Fatigue is low, but when positive is high (that means employees are having less sleep) then Fatigue is also high.  And this is a natural outcome of insomnia.
 
r = 0.504
r2 = .254 or 25.4%
b0= 1.2802
b1=0.5553
r = 0.504, there is a moderately high relation between positive insomnia and fatigue.
r2 = .254 or 25.4%. It tells us that 25.4% of variation in fatigue can be explained by the positive insomnia.
b0= 1.2802. This condition means, if there is no positive insomnia then there will some fatigue will remain.
b1=0.5553 if positive insomnia changed by 1 unit, then fatigue will change by 0.5553.
So a high positive insomnia is causing high fatigue.

5.8) Relation between negative insomnia and fatigue
Higher negative insomnia is good for DBBL employees.  When negative insomnia is increasing tiredness of employees are naturally reducing. And if there is no negative insomnia then some level of fatigue is remain. And the level of fatigue is moderate. But fatigue does not change hugely depending on negative insomnia.
 
r = -0.373        r2 = 0.139 or 13.9%
b0= 3.2940        b1= -0.2849
r = -0.373, there is a moderate relation between negative insomnia and fatigue.
r2 = 0.139 or 13.9%. It tells us that 13.9% of variation in fatigue can be explained by the negative insomnia.
b0= 3.2940. This condition means, if there is 0 negative insomnia then there will some fatigue will remain.
b1=-0.2849 if negative insomnia changed by 1 unit, then fatigue will reduce by -0.2849.
So a high negative insomnia is causing low fatigue and low negative insomnia is causing high fatigue.